Random noise attenuation is an important step in seismic signal processing. This paper develops a seismic denoising method which combines the improved complementary ensemble empirical mode decomposition (ICEEMD) and adaptive interval threshold. The seismic data are decomposed into intrinsic mode functions (IMFs) by ICEEMD, which can overcome the problem of uncertain number of modes when adding different random noise as well as the problems of spurious modes and the residual noise from using the ensemble empirical mode decomposition (EEMD) and the complementary ensemble empirical mode decomposition (CEEMD). After the decomposition, the noise in IMFs is filtered out by the adaptive interval threshold. The de-noised data are reconstructed by stacking the filtered IMFs. The proposed approach is validated via the synthetic and field data. The results demonstrate that the approach can effectively improve the de-noising performance.

随机噪声衰减是地震信号处理中的重要步骤。本文提出了一种地震去噪方法，该方法结合了改进的互补集合经验模式分解（ICEEMD）和自适应区间阈值。ICEEMD将地震数据分解为固有模式函数（IMF），通过使用集成经验模式分解，可以克服添加不同随机噪声时模式数量不确定的问题以及杂散模式和残留噪声的问题（ EEMD）和互补集合经验模式分解（CEEMD）。分解后，IMF中的噪声将通过自适应间隔阈值滤除。通过堆叠滤波后的IMF来重建去噪数据。通过综合和现场数据验证了所提出的方法。